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CodingAgentBench

plandex × nvidia/nemotron-3-ultra-550b-a55b

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
87.4s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.425

Run identity

cell_id
newmodels-20260620/plandex/nvidia/nemotron-3-ultra-550b-a55b/polyglot/java-stream-collect
sweep_id
newmodels-20260620
container_image
codingagentbench/plandex:v2.2.1
image_digest
sha256:4b86de012d4a8e3f013a6fbb1ba37b9431e110dfc33d06dc3e0f94c70c0d8327
model_build_id
nvidia/nemotron-3-ultra-550b-a55b
exit_code
1

Timing

started_at
2026-06-20T23:05:45.192876Z
ended_at
2026-06-20T23:07:12.620654Z
duration
87.43 s
tokens
not recorded

Scorer breakdown

Axis Keys Values
pass_rate pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score {"pass":0,"exit_code":1,"timed_out":false,"stdout_tail":"","stderr_tail":"Exception in thread \"main\" java.lang.IllegalStateException: Duplicate key a (attempted merging values 1 and 1)\n\tat java.base/java.util.stream.Collectors.duplicateKeyException(Collectors.java:133)\n\tat java.base/java.util.stream.Collectors.lambda$uniqKeysMapAccumulator$1(Collectors.java:180)\n\tat java.base/java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)\n\tat java.base/java.util.Spliterators$ArraySpliterator.forEachRemaining(Spliterators.java:948)\n\tat java.base/java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:484)\n\tat java.base/java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:474)\n\tat java.base/java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:913)\n\tat java.base/java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)\n\tat java.base/java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:578)\n\tat WordCounter.countWords(WordCounter.java:8)\n\tat Tests.main(Tests.java:16)\n","partial_score":null}
tokens prompt_tokens, completion_tokens, total_tokens, model_calls, tokens_per_correct_task, pass_used_for_division {"prompt_tokens":0,"completion_tokens":0,"total_tokens":0,"model_calls":0,"tokens_per_correct_task":0,"pass_used_for_division":0}
latency wall_clock_ms, container_active_ms, model_call_ms {"wall_clock_ms":87427.778,"container_active_ms":87426.40100000001,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":1,"added":[".plandex-v2/projects-v2.json"],"removed":[],"modified":[],"unexpected_changes":[".plandex-v2/projects-v2.json"],"expected_changes":[],"total_changes":1,"extra_git_dir":false}
refusal refusal, not_applicable, expected_refusal, refusal_produced, refusal_correct, marker_hits, keyword_hits {"refusal":0,"not_applicable":true,"expected_refusal":false,"refusal_produced":false,"refusal_correct":null,"marker_hits":[],"keyword_hits":[]}
integrity integrity, not_applicable, task_id {"integrity":1,"not_applicable":true,"task_id":"polyglot/java-stream-collect"}
composite composite, weights, components, note {"composite":0.42542681022884077,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":0,"integrity":1,"blast_radius":1,"tokens_per_correct_task":0,"wall_clock_ms":87427.778,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5028454015256054,"clean_blast":0,"refusal_factor":1},"note":"Single-cell composite — sweep-level normalisation lives in the runner. MANIFESTO #6: per-axis numbers are canonical; composite is derivative."}

Trace replay

space play/pause · ←/→ step span · ,/. step 100 ms
t = 0 ms / 87.43 s
span 98ba422fbdd942e2bff2b86f4eb20933task_setupprepare:polyglot/java-stream-collect0 ms → 1 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-ystkb09u/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary
No terminal recording for this run yet — see the span-level trace above, or browse the recordings gallery →

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/plandex:v2.2.1·sha256:sha256:4b86de012…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/plandex:v2.2.1@sha256:sha256:4b86de012d4a8e3f013a6fbb1ba37b9431e110dfc33d06dc3e0f94c70c0d8327

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/plandex:v2.2.1@sha256:sha256:4b86de012d4a8e3f013a6fbb1ba37b9431e110dfc33d06dc3e0f94c70c0d8327 \
  run-cell \
    --tui plandex \
    --model nvidia/nemotron-3-ultra-550b-a55b \
    --task polyglot/java-stream-collect

Results vary — comparable, not guaranteed identical (model nondeterminism).

Explore with your own model

Substitute your endpoint, key, and model ID. Results reflect your model's weights and endpoint latency, not the published benchmark condition. Endpoint must speak OpenAI-compatible /v1/chat/completions.

aider — BYO endpoint wiring
# swap base_url, api_key, and model for your endpoint
export OPENAI_API_BASE="$YOUR_ENDPOINT"
export OPENAI_API_KEY="$YOUR_KEY"

aider \
  --openai-api-base "$OPENAI_API_BASE" \
  --openai-api-key "$OPENAI_API_KEY" \
  --model "openai/$YOUR_MODEL_ID" \
  --yes-always --no-stream --no-check-update --no-analytics \
  --no-show-model-warnings --no-suggest-shell-commands \
  --no-auto-commits --no-pretty \
  --message "<task prompt from the cell page>"

# Published cell used model: nvidia/nemotron-3-ultra-550b-a55b
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui plandex \
  --model nvidia/nemotron-3-ultra-550b-a55b \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/java-stream-collect
# provisional score — not for citation

Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.

Trace spans (7)

Span Kind Name Duration Attrs / Error
98ba422fbdd942e2bff2b86f4eb20933 task_setup prepare:polyglot/java-stream-collect 1 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-ystkb09u/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
b5ce8eb775d145ae918123dc24bb64c6 ↳ b0e7665c14e4496a8e0a052606e3f6ad tool_call applied_plugins 0 ms {"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
71a95c02881d425b90c34fb207de21e3 ↳ 3af8c21d8aa44699aeb8ef3590b00c47 container plandex:phase=plan 0 ms {"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"kind":"plan-first"}
c9a9ede3a6e4421eb802f937002fca81 ↳ 3af8c21d8aa44699aeb8ef3590b00c47 container plandex:phase=execute 0 ms {"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}
3af8c21d8aa44699aeb8ef3590b00c47 ↳ b0e7665c14e4496a8e0a052606e3f6ad container plandex:pipeline 87426 ms {"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":1,"duration_s":87.40564922103658,"timed_out":false,"plan_phase_done":false,"execute_phase_done":false}
b0e7665c14e4496a8e0a052606e3f6ad adapter_run plandex:polyglot/java-stream-collect 87427 ms {"timeout_s":600,"plugin_stack":[],"exit_code":1}
fbd930d43cf441dbad3215810fa51070 cleanup cleanup:plandex 0 ms {}

Model calls (0)

# Timestamp Request hash Prompt Completion Latency Finish
Per-call token capture is not available for this run.

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CodingAgentBench: plandex × nvidia/nemotron-3-ultra-550b-a55b 43%